Bäumer, Frederik Simon; Schultenkämper, Sergej; Geierhos, Michaela; Lee, Yeong Su:
Mirroring Privacy Risks with Digital Twins: When Pieces of Personal Data Suddenly Fit Together
. In: SN Computer Science,
5.
2024
, 8
. - S. 1109

Zeitschriftenartikel / Journal Article

Bäumer, Frederik Simon; Schultenkämper, Sergej; Geierhos, Michaela; Lee, Yeong Su:
Mirroring Privacy Risks with Digital Twins: When Pieces of Personal Data Suddenly Fit Together
. In: SN Computer Science ,
5.
2024
. - S. 1109

Zeitschriftenartikel / Journal Article

Hennen, Moritz; Babl, Florian; Geierhos, Michaela:
ITER: Iterative Transformer-based Entity Recognition and Relation Extraction
. In: Findings of the Association for Computational Linguistics: EMNLP 2024,
2024
. - S. 11209–11223

Konferenzbeitrag / Conference Paper

Winkel, Fabian; Geierhos, Michaela; Fink, Josef:
Evaluating Embedding Models for Retrieving ESG Information from Annual Business Reports
. In: ICIS 2024 Proceedings, 23, AI in Business and Society,
2024
. - S. 2621

Konferenzbeitrag / Conference Paper

Maoro, Falk; Geierhos, Michaela:
FICODE at GermEval 2024 GerMS-Detect closed ST1 & ST2: Ensemble- and Transformer-Based Detection of Sexism and Misogyny in German Texts
. In: Proceedings of GermEval 2024 Task 1 GerMS-Detect Workshop on Sexism Detection in German Online News Fora (GerMS-Detect 2024),
2024
. - S. 21-25

Konferenzbeitrag / Conference Paper

Rösch, Philipp J.; Oswald, Norbert; Geierhos, Michaela; Libovický, Jindřich:
Enhancing Conceptual Understanding in Multimodal Contrastive Learning through Hard Negative Samples
. In: Proceedings of the 3rd Workshop on Advances in Language and Vision Research (ALVR),
2024
. - S. 102–115

Konferenzbeitrag / Conference Paper

Maoro, Falk; Geierhos, Michaela:
Vertrauenswürdige Künstliche Intelligenz für polizeiliche Anwendungen
. In: Kongress KI@HSBI2023,
2024
. - S. 22-23

Konferenzbeitrag / Conference Paper

Cimitan, Ana; Alves Pinto, Ana; Geierhos, Michaela:
Curation of Benchmark Templates for Measuring Gender Bias in Named Entity Recognition Models
. In: Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024),
2024
. - S. 4238-4246

Konferenzbeitrag / Conference Paper

Pritzkau, Albert; Waldmüller, Julia; Blanc, Olivier; Geierhos, Michaela; Schade, Ulrich:
Current language models' poor performance on pragmatic aspects of natural language
. In: Working Notes of FIRE 2023 - Forum for Information Retrieval Evaluation (FIRE-WN 2023),
2024
. - S. 159-169

Konferenzbeitrag / Conference Paper

Geierhos, Michaela:
Täuschend echt? Fake News!
. In: prmagazin,
54.
2024
, 2
. - S. E1-E7

Zeitschriftenartikel / Journal Article